Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
This paper presents a fast algorithm for smooth digital elevation model interpolation and approximation from scattered elevation data. The global surface is reconstructed by subdi...
Joachim Pouderoux, Jean-Christophe Gonzato, Ireneu...
The first extensive number-theoretical computation run on the world's first U.S. digital general-purpose electronic computer, the ENIAC, is reconstructed. The problem, computi...
When space points and camera optical center lie on a twisted cubic, no matter how many pairs there are used from the space points to their image points, camera parameters cannot b...
In this paper we present a high-fidelity surface approximation technique that aims at a faithful reconstruction of piecewise-smooth surfaces from a scattered point set. The presen...